Face Detection Based on Skin Color Model and Geometry Features

Face detection has been a key issue for computer vision. It is essential to many applications, for example, human face synthesis, face tracking, pose estimation, facial expression recognition and object oriented image coding. Detection and localization of human faces is still a challenge because of several difficulties, such as variable face orientations, different face sizes, partial occlusions of faces, and changeable lighting conditions. In this paper, we present an algorithm to face detection in video sequences. It is a hierarchical approach, which integrates a skin color model and gradient features. Results show that the method improved the accuracy of front face detection.